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Adaptive Cluster Sampling-Based Design for Estimating COVID-19 Cases With Random Samples
Author(s) -
Girish Chandra,
Neeraj Tiwari,
Raman Nautiyal
Publication year - 2021
Publication title -
current science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.281
H-Index - 118
ISSN - 0011-3891
DOI - 10.18520/cs/v120/i7/1202-1210
Subject(s) - estimator , covid-19 , cluster (spacecraft) , sampling (signal processing) , statistics , cluster sampling , economic shortage , pandemic , sampling design , computer science , multistage sampling , domain (mathematical analysis) , mathematics , econometrics , medicine , virology , environmental health , philosophy , government (linguistics) , mathematical analysis , linguistics , population , filter (signal processing) , pathology , outbreak , computer vision , programming language , disease , infectious disease (medical specialty)

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